De-chen Zhan

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A collaborative planning framework combining the Lagrangian relaxation method and genetic algorithms is developed to coordinate and optimize the production planning of the independent partners linked by material flows in multiple tier supply chains. Linking constraints and dependent demand constraints were added to the monolithic multi-level, multi-item(More)
Among recent developments in the field of software reuse has been the increasing reuse of coarse-grained components, and it has been proved that granularity has great impact on component's reuse performance. However, previous studies have ignored rigorous and effective methods to support coarse-grained component identification and design, particularly(More)
Business Component Identification is recognized as one of the greatest important phase in the process of Component-Based Software Development (CBSD). This paper presents an approach to identify business components from domain business model. First a domain business model of enterprise information system is proposed, and it is the input of business(More)
With the trend of the worldwide market competition, the global agile manufacturing will becom an advanced manufacturing technology in 21st century, and the Agile Virtual Enterprise (AVE) will also become a new organization form of manufacturing enterprises. As AVE is a complicated enterprise, how to build an optimal AVE organization is a difficult problem.(More)
A collaborative planning framework based on the Lagrangian relaxation method is developed to coordinate and optimize the production planning of the independent partners linked by material flows in multiple tier supply chains. Linking constraints and dependent demand constraints were added to the monolithic Multi-level, multi-item capacitated lot sizing(More)